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Sustainable Delivery Model Selection using AROMAN Approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F24%3A39922543" target="_blank" >RIV/00216275:25510/24:39922543 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.dma-journal.org/index.php/dema/article/view/29" target="_blank" >https://www.dma-journal.org/index.php/dema/article/view/29</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.31181/dma21202429" target="_blank" >10.31181/dma21202429</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sustainable Delivery Model Selection using AROMAN Approach

  • Original language description

    The development of electronic commerce has resulted in an increase in the number of shipments in their transfer systems. Delivery companies strive to respond to emerging situations, meet customer needs, and achieve profit through the optimization of their operations. The imperative is to establish a delivery system that is in line with the principles of sustainable development. This paper defines the task of choosing a sustainable model for shipment delivery and proposes the AROMAN method for its resolution. The applicability of the proposed method is demonstrated by solving the defined task in the territory of the city of Belgrade.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    21100 - Other engineering and technologies

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Decision Making Advances

  • ISSN

    2956-2384

  • e-ISSN

  • Volume of the periodical

    2

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    RS - THE REPUBLIC OF SERBIA

  • Number of pages

    9

  • Pages from-to

    73-82

  • UT code for WoS article

  • EID of the result in the Scopus database